// software & platform

Software built by imaging professionals

A web-based platform for medical image reconstruction, processing, and quantification — with full support for AI and predictive models.

// what we build

A web-based platform for medical image workflows

Manual and automated workflows for medical image reconstruction, processing, and quantification.

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  • Tailored applications for image processing and quantification
  • Multi-user support with sharable workflows and applications
  • Deploys alongside existing PACS and vendor-supplied software
  • Run custom code securely on-premises or in the cloud
  • Native support for predictive models and AI
  • Reproducible and standardized results
// reproducible ai

Built for trustworthy, multi-site AI evaluation

As AI moves into nuclear medicine and theranostics, results have to hold up across scanners, sites, and acquisition protocols. Our platform is designed to make model sharing, comparison, and clinical evaluation reproducible by construction.

  • Versioned modules and pipelines

    Uploaded models and code become version-controlled modules that combine into pipelines — so every result is traceable and reproducible.

  • Share without exposing code

    Share modules and pipelines for evaluation under a common runtime environment, without revealing the underlying source.

  • Standardized benchmarking

    Compare model performance across institutions using standardized metrics and a shared execution environment.

  • Full traceability

    Complete run history is retained for every pipeline, keeping results auditable and credible.

  • DICOM-native integration

    Ingest imaging over web upload or DICOM, process it, and send outputs downstream over DICOM for clinical use.

  • Security and compliance

    Permission-based access, action logging, and monitoring support data security and regulatory compliance.

// how it works

From model upload to clinical evaluation

One infrastructure carries a model from first upload through multi-site comparison to clinical deployment and monitoring.

  1. 01

    Upload and verify

    Models and code are uploaded for automated security verification and enrolled in version control.

  2. 02

    Compose pipelines

    Combine version-controlled modules into reproducible pipelines tailored to your task.

  3. 03

    Benchmark and compare

    Run standardized benchmarks to compare performance across sites, scanners, and configurations.

  4. 04

    Deploy and monitor

    Move validated pipelines into clinical evaluation, with ongoing post-deployment monitoring — all on the same infrastructure.